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Systems genetics analysis identifies calcium-signaling defects as novel cause of congenital heart disease

Overview of attention for article published in Genome Medicine, August 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

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15 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Systems genetics analysis identifies calcium-signaling defects as novel cause of congenital heart disease
Published in
Genome Medicine, August 2020
DOI 10.1186/s13073-020-00772-z
Pubmed ID
Authors

Jose M. G. Izarzugaza, Sabrina G. Ellesøe, Canan Doganli, Natasja Spring Ehlers, Marlene D. Dalgaard, Enrique Audain, Gregor Dombrowsky, Karina Banasik, Alejandro Sifrim, Anna Wilsdon, Bernard Thienpont, Jeroen Breckpot, Marc Gewillig, J. David Brook, Marc-Phillip Hitz, Lars A. Larsen, Søren Brunak

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Unspecified 3 11%
Researcher 2 7%
Professor > Associate Professor 2 7%
Professor 2 7%
Other 3 11%
Unknown 10 36%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Biochemistry, Genetics and Molecular Biology 4 14%
Unspecified 3 11%
Agricultural and Biological Sciences 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 1 4%
Unknown 11 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 March 2021.
All research outputs
#7,372,251
of 23,232,430 outputs
Outputs from Genome Medicine
#1,131
of 1,453 outputs
Outputs of similar age
#157,445
of 398,949 outputs
Outputs of similar age from Genome Medicine
#17
of 25 outputs
Altmetric has tracked 23,232,430 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,453 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 398,949 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.